We’re excited to announce the release of Anaconda Distribution 5.3.0! Anaconda Distribution is the world’s most popular and easiest way to learn and perform data science and machine learning. Here’s a rundown of new features.
In addition to our Python 2.7 Anaconda installers, as well as Python 3.6 Anaconda metapackages, Anaconda Distribution 5.3 is compiled with Python 3.7, taking advantage of Python’s speed and feature improvements.
If you use TensorFlow, Anaconda 5.3 includes Intel Math Kernel Library 2019 for Deep Neural Networks (MKL 2019). These Python binary packages are provided to achieve high CPU performance with our TensorFlow builds with support for Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN). For more information, see our blog post TensorFlow in Anaconda.
We’ve improved the reliability of Anaconda by capturing and storing package metadata for installed packages. The additional metadata is used by the package cache to efficiently manage the environment as well as store patched metadata used by the conda solver.
In addition to these new features, we’ve updated or added over 230 packages. Full release notes for Anaconda Distribution 5.3 can be found here.
* We are aware of the casting bug in NumPy with Python 3.7 and we are patching it until NumPy is updated. The patch will be available shortly.
Download and install Anaconda Distribution 5.3 now, or update your current Anaconda Distribution installation to version 5.3 by using conda update conda followed by conda install anaconda=5.3
